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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 82 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
WBS, IT, ISEC 2018-03-08
09:00
Tokyo Katsusika Campas, Tokyo University of Science Evaluation of Bayes Predictive Distributions under Unknown Parametric Models on Misspecified Models
Hirokazu Kono, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2017-103 ISEC2017-91 WBS2017-84
In this paper, we discuss a problem to estimate the conditional distribution of $Y_{N+1}$ given $x_{N+1}$ and ${(x_t,y_t... [more] IT2017-103 ISEC2017-91 WBS2017-84
pp.1-6
WBS, IT, ISEC 2018-03-08
09:25
Tokyo Katsusika Campas, Tokyo University of Science Information Geometrical Study of Cluster-Model Approximation for Boltzmann Machines
Kenta Toyoda, Tomohiro Ogawa (Univ. of Electro- Commu.) IT2017-104 ISEC2017-92 WBS2017-85
In learning algorithms for Boltzmann machines, it is necessary but very hard to calculate the expectation of units with ... [more] IT2017-104 ISEC2017-92 WBS2017-85
pp.7-12
NLP 2017-07-13
13:00
Okinawa Miyako Island Marine Terminal A Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence
Satoshi Nakatsu, Norikazu Takahashi (Okayama Univ.) NLP2017-31
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] NLP2017-31
pp.17-22
IT 2017-07-14
10:50
Chiba Chiba University Variable-Length Intrinsic Randomness Problem Allowing Non-Vanishing Underflow Probability
Jun Yoshizawa, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2017-29
This paper deals with the variable-length intrinsic randomness problem for general sources. Previous study adopts the me... [more] IT2017-29
pp.73-78
IT 2016-12-13
15:50
Gifu Takayama Green Hotel [Invited Talk] Bregman Divergence and its Applications
Takafumi Kanamori (Nagoya Univ.) IT2016-44
In statistical inference and machine learning, Bregman divergences are often used. This paper shows applications of Breg... [more] IT2016-44
pp.15-20
QIT
(2nd)
2016-11-24
09:30
Ibaraki KEK Kobayashi-hall Reversibility of distance mesures of states with some focus on total variation distance
Keiji Matsumoto (NII)
Consider a classical memory system, which is in the state described by
probability distribution $p$ or $q$ depending on... [more]

IT 2016-09-02
14:10
Saga New Heartpia Speed-Up Method for Optimal Quantizations of Binary-Input Discrete Memoryless Channels with Monge Property
Yuta Sakai, Ken-ichi Iwata (Univ. of Fukui) IT2016-40
This study examines quantizations for outputs of binary-input discrete memoryless channels (B-DMCs) by concatenating a D... [more] IT2016-40
pp.35-40
PRMU, IBISML, IPSJ-CVIM [detail] 2015-09-14
13:30
Ehime   Curved exponential family fitting in the space of normal distribution
Jun Fujiki, Masaru Tanaka (Fukuoka Univ.), Shotaro Akaho (AIST) PRMU2015-70 IBISML2015-30
We consider the manifold fitting to a given set of points in the space
of probability distributions.
Although only t... [more]
PRMU2015-70 IBISML2015-30
pp.19-24
SP 2015-08-21
16:15
Iwate Iwate Prefectural Univ. Training Data Selection for Acoustic Modeling Based on Submodular Optimization of Joint KL Divergence
Taichi Asami, Ryo Masumura, Hirokazu Masataki, Manabu Okamoto, Sumitaka Sakauchi (NTT) SP2015-58
This paper provides a novel training data selection method to
construct acoustic models for automatic speech recogniti... [more]
SP2015-58
pp.45-50
KBSE, SS, IPSJ-SE [detail] 2015-07-23
09:30
Hokkaido   Dependency Based Factoring
Takashi Nasu, Munehiro Takimoto (TUS) SS2015-20 KBSE2015-13
Branch divergence caused by Single Instruction Multiple Data (SIMD) execution extremely decreases the performance of GPU... [more] SS2015-20 KBSE2015-13
pp.57-62
SP, IPSJ-SLP
(Joint)
2015-07-16
15:10
Nagano Katakura Suwako Hotel A study on discriminative approach for estimation of the divergence between distributions and its application to language identification
Yosuke Kashiwagi, Congying Zhang, Daisuke Saito, Nobuaki Minematsu (Tokyo Univ.) SP2015-38
In this paper, we propose a method for estimating the statistical divergence between probability distributions by a disc... [more] SP2015-38
pp.13-18
IT 2015-07-13
16:00
Tokyo Tokyo Institute of Technology [Invited Talk] Reformulation of Information Theory by New Information Measures
Tomohiko Uyematsu (Tokyo Tech) IT2015-27
Han and Verd'u introduced a new information measure called as
information spectrum, and developed the most general info... [more]
IT2015-27
pp.59-66
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-23
10:45
Okinawa Okinawa Institute of Science and Technology A Study on Non-negative Matrix Factorization for Integrated Analysis of Visiting and Rating Information
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada (NTT) IBISML2015-4
As the number of projects on data collection and analysis increases in many business fields, it is required that the met... [more] IBISML2015-4
pp.21-26
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-25
11:10
Okinawa Okinawa Institute of Science and Technology Statistical and information-theoretical analysis of the sumo wrestling tournament
Shoukei Gushiken, Ryota Miyata (Univ Ryukyus) IBISML2015-25
Duggan and Levitt (2002) proposed a statistical analysis method for the sumo wrestling tournament.
However, they focuse... [more]
IBISML2015-25
pp.201-205
QIT
(2nd)
2015-05-26
11:40
Osaka Osaka University On maximization of measured f-divergence between a given pair of quantum states: single-copy analysis
Keiji Matsumoto (NII)
This research deals with (single-copy) maximization of classical
$f$-divergence between the distributions of measuremen... [more]

QIT
(2nd)
2015-05-25
13:20
Osaka Osaka University [Poster Presentation] Generalization of quantum f-divergence and its geometrical properties
Yu Takaoka, Yu Watanabe (YITP, Kyoto Univ.)
We define a class of generalized quantum f-divergences.
They satisfy the non-negativity, CPTP monotonicity, and coincid... [more]

IBISML 2015-03-05
14:15
Kyoto Kyoto University Bayes Projection of Conditional Normalized Maximum Likelihood Distributions in Poisson Model and Linear Regression Model
Mutsuki Kojima, Fumiyasu Komaki (UT) IBISML2014-86
In the Poisson model and the linear regression model, we reveal the relations between the conditional normalized maximum... [more] IBISML2014-86
pp.9-15
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
Hiroaki Sasaki (Univ. of Tokyo), Yung-Kyun Noh (KAIST), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-52
Estimation of density derivatives is a versatile tool in statistical data analysis. A naive approach is to first estimat... [more] IBISML2014-52
pp.133-140
QIT
(2nd)
2014-11-17
15:00
Miyagi Tohoku Univ. Strong Converse Exponent for Classical-Quantum Channel Coding
Milan Mosonyi (UAB, BME), Tomohiro Ogawa (UEC)
We determine the exact strong converse exponent of classical-quantum
channel coding, for every rate above the Holevo ca... [more]

MBE, NC
(Joint)
2014-10-18
13:50
Osaka Osaka Electro-Communication University Continuous-time method based on dose-volume constrained optimization for intensity-modulated radiation therapy treatment planning
Yoshihiro Tanaka, Ken'ichi Fujimoto, Tetsuya Yoshinaga (Univ. of Tokushima) MBE2014-56
The intensity-modulated radiation therapy (IMRT) plans include an optimization strategy for minimizing an objective func... [more] MBE2014-56
pp.25-29
 Results 21 - 40 of 82 [Previous]  /  [Next]  
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